# AnimalTrack Implementation Plan

Check off items as completed. Each phase builds on the previous.

---

## Phase 1: Foundation

### Step 1.1: Project Structure & Configuration
- [x] Create Python package structure (`src/animaltrack/`)
- [x] Create `pyproject.toml` with dependencies
- [x] Create `flake.nix` with dev environment
- [x] Create `.envrc`, `.gitignore`
- [x] Implement `config.py` with all env vars from spec §18
- [x] Write tests for config loading and validation
- [x] **Commit checkpoint** (61f704c)

### Step 1.2: Database Connection & Pragmas
- [x] Create `db.py` with connection factory
- [x] Set pragmas: WAL, synchronous=FULL, foreign_keys=ON, busy_timeout=5000
- [x] Create transaction context manager (BEGIN IMMEDIATE)
- [x] Create `constants.py` with END_OF_TIME_UTC
- [x] Write tests for pragmas and transactions
- [x] **Commit checkpoint** (d8910d6)

### Step 1.3: Migration Framework
- [x] Create `migrations.py` using FastMigrate patterns
- [x] Create `cli.py` with `migrate` and `create-migration` commands
- [x] Create initial migration for `schema_migrations` table
- [x] Write tests for migration discovery and application
- [x] **Commit checkpoint** (7d7cd2b)

### Step 1.4: Reference Tables Schema
- [x] Create migration for species, locations, products, feed_types, users tables
- [x] Create Pydantic models for each reference type
- [x] Write tests for model validation and constraints
- [x] **Commit checkpoint** (2e28827)

### Step 1.5: Reference Data Repository & Seeds
- [x] Create repositories for each reference type (CRUD operations)
- [x] Create `seeds.py` with idempotent seeder
- [x] Seed: users (ppetru, ines, guest), locations (Strip 1-4, Nursery 1-4)
- [x] Seed: species (duck, goose active; sheep inactive)
- [x] Seed: products (egg.duck, meat/offal/fat/bones/feathers/down)
- [x] Seed: feed types (starter, grower, layer - 20kg default)
- [x] Create `id_gen.py` for ULID generation
- [x] Write tests for repositories and seeding idempotency
- [x] **Commit checkpoint** (4579229)

---

## Phase 2: Event Infrastructure

### Step 2.1: Events Table Schema
- [ ] Create migration for events, event_revisions, event_tombstones
- [ ] Create migration for idempotency_nonces, event_animals tables
- [ ] Create Pydantic models for Event, EventRevision, EventTombstone
- [ ] Write tests for table constraints (ULID checks, JSON validation)
- [ ] **Commit checkpoint**

### Step 2.2: Event Store Core
- [ ] Create `events/store.py` with append_event, get_event, list_events
- [ ] Implement nonce validation (reject duplicates)
- [ ] Implement clock skew guard (reject ts_utc > now + 5 min)
- [ ] Create `events/types.py` with event type constants
- [ ] Write tests for event storage, nonce rejection, clock skew
- [ ] **Commit checkpoint**

### Step 2.3: Event Type Payloads
- [ ] Create Pydantic models for all event payloads (spec §6):
  - [ ] LocationCreated, LocationRenamed, LocationArchived
  - [ ] AnimalCohortCreated, AnimalPromoted, AnimalMoved
  - [ ] AnimalAttributesUpdated, AnimalTagged, AnimalTagEnded
  - [ ] HatchRecorded, AnimalOutcome
  - [ ] ProductCollected, ProductSold
  - [ ] FeedPurchased, FeedGiven
  - [ ] AnimalMerged, AnimalStatusCorrected
- [ ] Create `events/validation.py` for payload validation
- [ ] Implement tag normalization (spec §20)
- [ ] Write tests for each payload model
- [ ] **Commit checkpoint**

### Step 2.4: Projection Infrastructure
- [ ] Create `projections/base.py` with Projection base class
- [ ] Create ProjectionRegistry
- [ ] Create `events/processor.py` with process_event function
- [ ] Write tests for projection registration and processing
- [ ] **Commit checkpoint**

---

## Phase 3: Animal Domain

### Step 3.1: Animal Registry Schema
- [ ] Create migration for animal_registry table with indexes
- [ ] Create migration for live_animals_by_location table
- [ ] Create migration for animal_aliases table
- [ ] Create Pydantic models: Animal, enums (Sex, ReproStatus, LifeStage, Status, Origin)
- [ ] Write tests for table constraints and unique nickname constraint
- [ ] **Commit checkpoint**

### Step 3.2: Interval Projections Schema
- [ ] Create migration for animal_location_intervals
- [ ] Create migration for animal_tag_intervals
- [ ] Create migration for animal_attr_intervals
- [ ] Create Pydantic models for interval types
- [ ] Write tests for CHECK constraints (end_utc > start_utc)
- [ ] **Commit checkpoint**

### Step 3.3: Animal Cohort Creation
- [ ] Create `projections/animal_registry.py` for cohort creation
- [ ] Create `projections/intervals.py` for location and attribute intervals
- [ ] Create `services/animal.py` with create_cohort function
- [ ] Populate animal_registry, live_animals_by_location, event_animals
- [ ] Create initial location and attribute intervals
- [ ] Write tests: cohort validation, correct animal count, all projections updated
- [ ] **Commit checkpoint**

### Step 3.4: Animal Movement
- [ ] Update projections for AnimalMoved event
- [ ] Close old location interval, open new one
- [ ] Update animal_registry and live_animals_by_location
- [ ] Add move_animals to services/animal.py
- [ ] Write tests: move validation (to!=from, single from_location), interval updates
- [ ] **Commit checkpoint**

### Step 3.5: Animal Attributes Update
- [ ] Update projections for AnimalAttributesUpdated event
- [ ] Close old attribute intervals, open new ones for changed attrs
- [ ] Add update_attributes to services/animal.py
- [ ] Write tests: only changed attrs create new intervals
- [ ] **Commit checkpoint**

### Step 3.6: Animal Tagging
- [ ] Create migration for tag_suggestions table
- [ ] Create `projections/tags.py` for tag intervals and suggestions
- [ ] Update live_animals_by_location tags JSON
- [ ] Add add_tag, end_tag to services/animal.py
- [ ] Write tests: tag normalization, interval open/close, no-op handling
- [ ] **Commit checkpoint**

---

## Phase 4: Products & Feed

### Step 4.1: Feed Inventory Schema & Purchase
- [ ] Create migration for feed_inventory table
- [ ] Create `projections/feed.py` with FeedInventoryProjection
- [ ] Implement apply_feed_purchased (increment purchased_kg, update price)
- [ ] Implement revert_feed_purchased
- [ ] Create `services/feed.py` with purchase_feed function
- [ ] Write tests: purchase increments, price stored as cents, revert works
- [ ] **Commit checkpoint**

### Step 4.2: Feed Given Event
- [ ] Implement apply_feed_given (increment given_kg, decrement balance)
- [ ] Implement revert_feed_given
- [ ] Add give_feed to services/feed.py
- [ ] Block if no purchase <= ts_utc
- [ ] Write tests: give updates inventory, blocked without purchase, revert
- [ ] **Commit checkpoint**

### Step 4.3: Product Collection Event
- [ ] Create `projections/products.py` for ProductCollected
- [ ] Create `services/products.py` with collect_product function
- [ ] Create `selection/resolver.py` with basic resolve_selection
- [ ] Populate event_animals for each resolved animal
- [ ] Write tests: event created, event_animals populated
- [ ] **Commit checkpoint**

### Step 4.4: 30-Day Stats Computation
- [ ] Create migration for egg_stats_30d_by_location table
- [ ] Create `projections/stats.py` with EggStatsProjection
- [ ] Implement bird-days calculation from intervals
- [ ] Implement layer-eligible days filtering
- [ ] Implement feed proration formula
- [ ] Implement cost calculations (integer cents)
- [ ] Create `services/stats.py` with get_egg_stats (compute on read)
- [ ] Write tests: verify E2E test #1 baseline values (spec §21)
- [ ] **Commit checkpoint**

### Step 4.5: Product Sold Event
- [ ] Implement apply_product_sold projection
- [ ] Add sell_product to services/products.py
- [ ] Calculate unit_price_cents = floor(total/qty)
- [ ] Write tests: event stored, unit price calculated
- [ ] **Commit checkpoint**

---

## Phase 5: Selection & Historical Queries

### Step 5.1: Selection Filter DSL Parser
- [ ] Create `selection/parser.py` for filter parsing
- [ ] Support: AND (default), OR (|), negate (-), quotes
- [ ] Fields: location, species, sex, life_stage, identified, tag
- [ ] Create `selection/ast.py` for filter AST nodes
- [ ] Write tests for all filter syntax variations
- [ ] **Commit checkpoint**

### Step 5.2: Historical State Resolver
- [ ] Update `selection/resolver.py` for point-in-time resolution
- [ ] Use interval tables for historical state (spec §7 query pattern)
- [ ] Create `selection/hash.py` with roster hash (xxhash64)
- [ ] Write tests: resolver returns correct animals before/after events
- [ ] **Commit checkpoint**

### Step 5.3: Optimistic Locking
- [ ] Create `selection/validation.py` for selection validation
- [ ] Re-resolve on submit, compute hash, return diff on mismatch
- [ ] Create SelectionContext and SelectionDiff models
- [ ] Write tests: mismatch detected, diff correct, confirmed bypasses
- [ ] **Commit checkpoint**

---

## Phase 6: Event Lifecycle

### Step 6.1: Event Editing
- [ ] Create `events/edit.py` with edit_event function
- [ ] Store old version in event_revisions
- [ ] Increment version
- [ ] Create `projections/replay.py` for unbounded replay
- [ ] Truncate affected rows >= ts_utc, re-apply events in order
- [ ] Write tests: revision stored, version incremented, projections updated
- [ ] Write test: E2E test #5 (edit egg event)
- [ ] **Commit checkpoint**

### Step 6.2: Event Deletion
- [ ] Create `events/delete.py` with delete_event function
- [ ] Create tombstone, trigger replay/revert
- [ ] Create `events/dependencies.py` for finding dependents
- [ ] Implement recorder vs admin rules (spec §10)
- [ ] Write tests: tombstone created, projections updated
- [ ] Write tests: recorder blocked if dependents (409), admin cascade
- [ ] Write test: E2E test #6
- [ ] **Commit checkpoint**

### Step 6.3: Animal Lifecycle Events
- [ ] Implement HatchRecorded (creates hatchlings)
- [ ] Implement AnimalOutcome (death/harvest/sold with yields)
- [ ] Implement AnimalPromoted (identified=true, nickname)
- [ ] Implement AnimalMerged (status=merged_into, aliases)
- [ ] Implement AnimalStatusCorrected (admin-only with reason)
- [ ] Write tests for each event type
- [ ] Write test: E2E test #7 (harvest with yields)
- [ ] **Commit checkpoint**

---

## Phase 7: HTTP API

### Step 7.1: FastHTML App Shell
- [ ] Create `web/app.py` with FastHTML setup
- [ ] Configure HTMX extensions (head-support, preload, etc.)
- [ ] Create `web/middleware.py`:
  - [ ] Auth middleware (X-Oidc-Username, TRUSTED_PROXY_IPS)
  - [ ] CSRF middleware (cookie + header + Origin/Referer)
  - [ ] Request logging (NDJSON format)
  - [ ] Request ID generation
- [ ] Create `web/auth.py` with get_current_user, require_role
- [ ] Write tests: auth extraction, CSRF validation, untrusted IP rejection
- [ ] **Commit checkpoint**

### Step 7.2: Health & Static Assets
- [ ] Create `web/routes/health.py` with /healthz (DB writable check)
- [ ] Optional /metrics (env gated)
- [ ] Configure static file serving (/static/vN/... with immutable cache)
- [ ] Vendor MonsterUI assets
- [ ] Create `web/templates/base.py` with base HTML template
- [ ] Create bottom nav component (Egg • Feed • Move • Registry)
- [ ] Write tests: healthz returns 200/503, static cache headers
- [ ] **Commit checkpoint**

### Step 7.3: Egg Quick Capture
- [ ] Create `web/routes/eggs.py`:
  - [ ] GET / - Egg Quick Capture form
  - [ ] POST /actions/product-collected
- [ ] Create `web/templates/eggs.py` with form
- [ ] Implement UX defaults (integer only, min=1, location sticks, qty clears)
- [ ] Write tests: form renders, POST creates event, validation errors (422)
- [ ] **Commit checkpoint**

### Step 7.4: Feed Quick Capture
- [ ] Create `web/routes/feed.py`:
  - [ ] GET /feed - Feed Quick Capture form
  - [ ] POST /actions/feed-given
  - [ ] POST /actions/feed-purchased
- [ ] Create `web/templates/feed.py` with forms
- [ ] Implement defaults per spec §22
- [ ] Write tests: form renders, POST creates events, blocked without purchase
- [ ] **Commit checkpoint**

### Step 7.5: Move Animals
- [ ] Create `web/routes/move.py`:
  - [ ] GET /move - Move Animals form
  - [ ] POST /actions/animal-move
- [ ] Create `web/templates/move.py` with selection UI
- [ ] Implement mismatch confirmation flow
- [ ] Write tests: form renders, move validation, mismatch (409)
- [ ] Write test: E2E test #8 (optimistic lock)
- [ ] **Commit checkpoint**

---

## Phase 8: Registry & Event Log

### Step 8.1: Animal Registry View
- [ ] Create `web/routes/registry.py`:
  - [ ] GET /registry with filters and pagination
- [ ] Create `web/templates/registry.py`:
  - [ ] Table: ID, species, sex, life_stage, location, tags, last event, status
  - [ ] Facet sidebar with counts
- [ ] Create `repositories/animals.py` with list_animals, get_facet_counts
- [ ] Implement infinite scroll (50/page, cursor=base64)
- [ ] Write tests: renders with animals, pagination works, filters apply
- [ ] **Commit checkpoint**

### Step 8.2: Event Log Projection & View
- [ ] Create migration for event_log_by_location table with cap trigger
- [ ] Create `projections/event_log.py` for event summaries
- [ ] Create `web/routes/events.py`:
  - [ ] GET /event-log?location_id=...
- [ ] Create `web/templates/events.py`
- [ ] Write tests: events appear, capped at 500, ordered by ts_utc DESC
- [ ] **Commit checkpoint**

### Step 8.3: Animal Detail Drawer
- [ ] Create `web/routes/animals.py`:
  - [ ] GET /animals/{animal_id}
- [ ] Create `web/templates/animal_detail.py`:
  - [ ] Header summary
  - [ ] Timeline (newest first)
  - [ ] Quick actions
- [ ] Create `repositories/animal_timeline.py`
- [ ] Write tests: detail renders, timeline shows events, merge info shown
- [ ] **Commit checkpoint**

---

## Phase 9: Remaining Actions

### Step 9.1: Animal Actions Routes
- [ ] POST /actions/animal-attrs
- [ ] POST /actions/hatch-recorded
- [ ] POST /actions/animal-outcome
- [ ] POST /actions/animal-cohort
- [ ] POST /actions/animal-promote
- [ ] POST /actions/animal-tag-add
- [ ] POST /actions/animal-tag-end
- [ ] POST /actions/animal-status-correct (admin-only)
- [ ] Create form templates for each
- [ ] Write tests for each action
- [ ] **Commit checkpoint**

### Step 9.2: Product Sold Route
- [ ] POST /actions/product-sold
- [ ] Create form template
- [ ] Write tests: sale creates event, unit price calculated
- [ ] **Commit checkpoint**

### Step 9.3: User Defaults
- [ ] Create migration for user_defaults table
- [ ] Create `repositories/user_defaults.py`
- [ ] Integrate defaults into form rendering
- [ ] Write tests: defaults saved and loaded
- [ ] **Commit checkpoint**

---

## Phase 10: Polish & E2E

### Step 10.1: Full E2E Test Suite
- [ ] E2E test #1: Baseline eggs+feed+costs
- [ ] E2E test #2: Mixed group proration
- [ ] E2E test #3: Split flock, per-location stats
- [ ] E2E test #4: Backdated eggs use historical roster
- [ ] E2E test #5: Edit egg event (if not already done)
- [ ] E2E test #6: Deletes: recorder vs admin cascade (if not already done)
- [ ] E2E test #7: Harvest with yields (if not already done)
- [ ] E2E test #8: Optimistic lock with confirm (if not already done)
- [ ] **Commit checkpoint**

### Step 10.2: Location Events & Error Handling
- [ ] Implement LocationCreated (idempotent for seeding)
- [ ] Implement LocationRenamed
- [ ] Implement LocationArchived
- [ ] Standardize error responses (422, 409, 401/403)
- [ ] Toast via HX-Trigger
- [ ] Write tests for location events and error rendering
- [ ] **Commit checkpoint**

### Step 10.3: CLI, Docker & Deployment
- [ ] Complete CLI: serve, seed, migrate commands
- [ ] Update flake.nix for Docker image build
- [ ] Create docker.nix
- [ ] Document deployment configuration
- [ ] Write tests: CLI commands work
- [ ] **Final commit**

---

## Summary

**Total steps**: 40 steps across 10 phases
**Each step**: Self-contained, testable, ends with integration

### Key Milestones
- Phase 1 complete: Project boots, DB works
- Phase 3 complete: Animals can be created and tracked
- Phase 4 complete: Feed/egg collection works with costs
- Phase 7 complete: Web UI is functional
- Phase 10 complete: Production ready

### Notes
- TDD: Write tests first
- Each step should be committable
- Refer to spec.md for authoritative behavior
- Check CLAUDE.md for framework patterns